Michael R. Strickland

34 total papers · 1.3k total citations
16 papers, 696 citations indexed

About

Michael R. Strickland is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Michael R. Strickland has authored 16 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Michael R. Strickland's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (5 papers) and Cholesterol and Lipid Metabolism (2 papers). Michael R. Strickland is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (5 papers) and Cholesterol and Lipid Metabolism (2 papers). Michael R. Strickland collaborates with scholars based in United States and Canada. Michael R. Strickland's co-authors include David M. Holtzman, Yun Chen, Andrea Soranno, Jason D. Ulrich, Samira Parhizkar, Marco Colonna, Javier Remolina Serrano, Nimansha Jain, Maud Gratuze and Paramita Chakrabarty and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Neuron.

In The Last Decade

Michael R. Strickland

16 papers receiving 685 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael R. Strickland 312 292 223 126 85 16 696
Cody M. Wolfe 246 0.8× 290 1.0× 286 1.3× 135 1.1× 95 1.1× 20 709
Xiaopu Zhou 188 0.6× 258 0.9× 211 0.9× 150 1.2× 71 0.8× 19 619
Edsel M. Abud 308 1.0× 293 1.0× 238 1.1× 176 1.4× 64 0.8× 14 717
Fading Chen 359 1.2× 346 1.2× 276 1.2× 103 0.8× 130 1.5× 10 788
Paolo d’Errico 233 0.7× 227 0.8× 207 0.9× 136 1.1× 80 0.9× 12 603
Juan E. Tichauer 307 1.0× 179 0.6× 173 0.8× 160 1.3× 63 0.7× 17 604
Julia Maeve Bonner 202 0.6× 229 0.8× 339 1.5× 55 0.4× 85 1.0× 13 688
Alerie Guzman de la Fuente 316 1.0× 162 0.6× 285 1.3× 141 1.1× 117 1.4× 22 790
Ju Shi 256 0.8× 177 0.6× 238 1.1× 143 1.1× 143 1.7× 15 780
Juan García‐Revilla 197 0.6× 157 0.5× 218 1.0× 169 1.3× 69 0.8× 18 607

Countries citing papers authored by Michael R. Strickland

Since Specialization
Citations

This map shows the geographic impact of Michael R. Strickland's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael R. Strickland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Strickland more than expected).

Fields of papers citing papers by Michael R. Strickland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Strickland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael R. Strickland. The network helps show where Michael R. Strickland may publish in the future.

Co-authorship network of co-authors of Michael R. Strickland

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Strickland. A scholar is included among the top collaborators of Michael R. Strickland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael R. Strickland. Michael R. Strickland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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